class_docstr: Augmenter that simulate typo error by random values. For example, people may type i as o incorrectly.        One keyboard distance is leveraged to replace character by possible keyboard error.
  
  :param float aug_char_p: Percentage of character (per token) will be augmented.
  :param int aug_char_min: Minimum number of character will be augmented.
  :param int aug_char_max: Maximum number of character will be augmented. If None is passed, number of augmentation is
      calculated via aup_char_p. If calculated result from aug_char_p is smaller than aug_char_max, will use calculated result
      from aup_char_p. Otherwise, using aug_max.
  :param float aug_word_p: Percentage of word will be augmented.
  :param int aug_word_min: Minimum number of word will be augmented.
  :param int aug_word_max: Maximum number of word will be augmented. If None is passed, number of augmentation is
      calculated via aup_word_p. If calculated result from aug_word_p is smaller than aug_word_max, will use calculated result
      from aug_word_p. Otherwise, using aug_max.
  :param list stopwords: List of words which will be skipped from augment operation.
  :param str stopwords_regex: Regular expression for matching words which will be skipped from augment operation.
  :param func tokenizer: Customize tokenization process
  :param func reverse_tokenizer: Customize reverse of tokenization process
  :param bool include_special_char: Include special character
  :param bool include_upper_case: If True, upper case character may be included in augmented data.
  :param bool include_numeric: If True, numeric character may be included in augmented data.
  :param int min_char: If word less than this value, do not draw word for augmentation
  :param str model_path: Loading customize model from file system
  :param str lang: Indicate built-in language model. Default value is 'en'. Possible values are 'en', 'th' (Thai), 
      'tr'(Turkish), 'de'(German), 'es'(Spanish), 'fr'(French), 'it'(Italian), 'nl'(Dutch), 'pl'(Polish), 
      'uk'(Ukrainian), 'he'(Hebrew). If custom model is used (passing model_path), this value will be ignored. 
  :param str name: Name of this augmenter
  
  >>> import nlpaug.augmenter.char as nac
  >>> aug = nac.KeyboardAug()
code: def get_model(
      cls,
      special_char=True,
      numeric=True,
      upper_case=True,
      lang="en",
      model_path=None,
  ):
      return nmc.Keyboard(
          special_char=special_char,
          numeric=numeric,
          upper_case=upper_case,
          lang=lang,
          model_path=model_path,
      )
  
file_path: nlpaug/nlpaug/augmenter/char/keyboard.py
imports: import os
  from nlpaug.augmenter.char import CharAugmenter
  from nlpaug.util import Action, Method, Doc, LibraryUtil
  import nlpaug.model.char
label_desc: Use image node_id 4 for calling the KeyboardAug obj's underlying member method code with example usage: obj.get_model(cls, special_char, numeric, upper_case, lang, model_path) and returns: nmc